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Personalized query word completion recommendation method and device based on like user model

A user model and recommendation method technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of ignoring data sparsity

Active Publication Date: 2018-08-21
NAT UNIV OF DEFENSE TECH
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

More seriously, existing studies usually ignore the data sparsity problem in personalized QAC, and those users with a small amount of query history are usually excluded.

Method used

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  • Personalized query word completion recommendation method and device based on like user model
  • Personalized query word completion recommendation method and device based on like user model
  • Personalized query word completion recommendation method and device based on like user model

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Embodiment Construction

[0028] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are exemplary only, and are not intended to limit the scope of the present invention. Also, in the following description, descriptions of well-known structures and techniques are omitted to avoid unnecessarily obscuring the concept of the present invention.

[0029] A schematic diagram of a layer structure according to an embodiment of the invention is shown in the drawing. The figures are not drawn to scale, with certain details exaggerated and possibly omitted for clarity. The shapes of the various regions and layers shown in the figure, as well as their relative sizes and positional relationships are only exemplary, and may deviate due to manufacturing tolerances or techni...

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Abstract

Provided are a personalized query word completion recommendation method and device based on a like user model. The method comprises the steps that query word prefixes input by a user are obtained; a set of query words to be completed is obtained according to query logs and the query word prefixes; the frequency scores of the query words to be completed are calculated; the similarity of the user and members of a like user group which the user belongs to and the similarity of the query words to be completed and query words submitted by like user group members are obtained according to the like user model, and the similarity of the query words to be completed and query words submitted by like users is calculated; according to the frequency scores and the similarity of the query words to be completed and query words submitted by like users, the sequence of the query words to be completed is obtained; the query words to be completed are sequenced, and the sequenced query words to be completed are recommended to the users. Accordingly, the problem of data sparsity of single users is solved, the stability of query word recommendation is improved, and user experience is improved.

Description

technical field [0001] The present invention relates to the technical field of query completion recommendation, in particular to a personalized query completion recommendation method based on similar user models, a non-temporary computer-readable storage medium, and a personalized query based on similar user models Word completion recommendation device. Background technique [0002] Query auto-completion recommendation (Query auto-completion, QAC) is a well-known technology widely used in search engines to facilitate users to submit query words. [0003] In related technologies, a series of completed query words can be obtained according to the prefix of the string entered by the user, and they are sorted and recommended to the user in the form of a recommendation list. It is through this method that QAC helps users construct queries in a time-saving and labor-saving manner. word. Generally speaking, the prefixes of query words are short and vague, which makes it difficult...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/3322G06F16/3334G06F16/3346
Inventor 蔡飞蒋丹阳陈洪辉刘俊先郑建明邵太华郝泽鹏陈皖玉陈涛
Owner NAT UNIV OF DEFENSE TECH
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